Senior Software Developer - Full Stack (Backend)

We want a hands-on full-stack engineer whose main strength is the backend. You will design and build distributed, event-driven systems for underwriting, claims, and policy workflows, and integrate AI and agentic capabilities into production. You will also contribute to the React frontend when a feature needs it end-to-end.

The candidate will have responsibilities across the following functions:

Backend architecture and systems:

• Design and build scalable, distributed, event-driven services using Java or Kotlin and Kafka.
• Apply patterns such as Event Sourcing, CQRS, Domain-Driven Design, and Hexagonal (Ports & Adapters) architecture.
• Make sound decisions on consistency models, concurrency, transactional boundaries, and fault tolerance.
• Model complex insurance domains (underwriting, claims, policy lifecycle) as clean bounded contexts.
• Design for auditability, traceability, versioning, and regulatory compliance.

AI and agentic integration:

• Integrate LLM-driven components into event-driven backends, with deterministic safeguards.
• Build agentic workflows that act on enterprise systems within compliance boundaries.

Frontend:

• Build and extend React + TypeScript interfaces for the features you own.
• Design clean APIs (REST or GraphQL) that frontend teams can consume easily.

Engineering excellence:

• Own testing strategy (unit, integration, contract), CI/CD, and Infrastructure as Code.
• Drive observability, performance, and code quality.

Requirements:

• Strong hands-on backend experience in Java or Kotlin. Spring Boot is preferred.
• Experience building distributed, event-driven systems with Kafka or similar.
• Practical knowledge of DDD, CQRS, Event Sourcing, or Hexagonal architecture.
• Solid grounding in SQL and NoSQL data modelling, schema evolution, and data integrity.
• Working proficiency in React and TypeScript.
• Experience in at least one regulated domain: Insurance, Banking, Payments, or Lending.
• Experience in startup environments with high ownership.
• Integrating AI/ML or LLM components into production systems. Exposure to agentic workflows.
• Temporal or other workflow orchestration platforms.
• Rule engines, policy execution layers, or ledger-based or replayable systems.
• Multi-tenant SaaS on AWS, GCP, or Azure.
• Zero-downtime migrations.

Skills

Java, Kafka, Kotlin, React, React.js